Single-pane for data clouds
Gain complete visibility with dashboards and reports, spanning from total savings across data clouds to object-level cost & performance.
Warehouse rightsizing schedules
Dynamic warehouse sizing schedules based on usage. Slingshot analyzes workloads, run times, data spill, and queuing to make suggestions.
Compute cluster optimization
Slingshot provides ML-powered compute optimizations for Databricks Jobs. Approve optimizations in a click, or fully automate for scale.
Reduce waste
Slingshot uses historical information and metadata to detect waste and optimize compute, queries and data storage across data clouds.
Saving potential
Each recommendation has projected savings to help you prioritize and assess saving potential from optimizing compute, queries & storage.
Insights and alerts
See overall data cloud spend, analyze Snowflake contract use, pinpoint cost trends and get alerted of cost anomalies with Slingshot.